中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability

文献类型:期刊论文

作者Liu, Derong; Yan, Pengfei; Wei, Qinglai
刊名INFORMATION SCIENCES
出版日期2014-12-20
卷号288页码:314-329
关键词Controllability Observability Discrete-time linear system Data-based method Noisy environment
英文摘要In this paper, a data-based method is developed for analyzing the controllability and observability of discrete-time linear systems in noisy environment. This method uses measured data to estimate the controllability matrix and the observability matrix without identifying system models. The unbiasedness and consistency of this estimate with measurement noise and system noise are proven, respectively. As the estimated error of system parameters will not accumulate in calculating the controllability matrix and observability matrix, this method has a higher precision than traditional methods, especially in high-dimensional state space. In the simulation, the advantages of the data-based method in accuracy and convergence are illustrated. (C) 2014 Elsevier Inc. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]NEURAL NETWORKS ; CONTROL DESIGN
收录类别SCI
语种英语
WOS记录号WOS:000343345500019
源URL[http://ir.ia.ac.cn/handle/173211/3852]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Liu, Derong,Yan, Pengfei,Wei, Qinglai. Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability[J]. INFORMATION SCIENCES,2014,288:314-329.
APA Liu, Derong,Yan, Pengfei,&Wei, Qinglai.(2014).Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability.INFORMATION SCIENCES,288,314-329.
MLA Liu, Derong,et al."Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability".INFORMATION SCIENCES 288(2014):314-329.

入库方式: OAI收割

来源:自动化研究所

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